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Risk and Return: Masters in Business with Matt Cherwin

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Risk and Return: Masters in Business with Matt Cherwin

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1520 segments

0:00

This week on the podcast, another extra

0:02

special guest. Matt Cherin is co-founder

0:04

and chief investment officer at Maric

0:07

Capital. He previously spent 16 years at

0:10

JP Morgan Chase and then a bunch of

0:11

years at uh Cityroup beforehand running

0:14

all sorts of spread markets, head of

0:17

securitized product, lots of CIO and

0:20

risk management titles. Uh I came to

0:23

know through um a live event we did at

0:27

Bloomberg last year. I found that his

0:29

approach to credit and trading is

0:32

absolutely fascinating and what MARA is

0:35

doing is really quite interesting. I

0:37

thought the conversation was brilliant

0:38

and I think you will also with no

0:40

further ado my conversation with Maric

0:43

Capitals Matt Sherwin

0:56

Matt Charin. Welcome to Bloomberg.

0:59

>> Thanks for having me. This is exciting.

1:00

That was kind of that was that was a

1:01

bigger windup than I was uh I expecting.

1:04

>> I like a big windup cuz it gives us an

1:07

opportunity to roll back to the

1:08

beginning and say, "All right,

1:10

bachelor's in economics from University

1:12

of Pennsylvania. What was the original

1:15

career plan?" I I don't imagine people

1:17

going to college and saying, "I want to

1:19

be the head of global spread markets."

1:21

>> Uh no. But that's super interesting

1:23

because um our oldest uh is a sophomore

1:26

in college now

1:27

>> and he's in the business school at

1:28

American and I was just talking to him

1:30

yesterday and he said I'm now in I think

1:33

they call it like finance for business.

1:35

I really like this new class. And I said

1:36

to him, that reminds me so well of when

1:40

I was in undergrad business school and I

1:43

did the first couple semesters of econ

1:45

and I hated it.

1:47

>> And

1:47

>> I had a similar experience with

1:49

>> and it was like, you know, I I shouldn't

1:53

have hated as much as I did, but at the

1:54

time uh it was ISLM curves, it was

1:58

supply, it was demand, etc. And it just

2:01

it felt it didn't feel very practical to

2:03

me and I didn't do very well in it. I

2:05

didn't go to class very often. I didn't

2:06

do very well. But then we got to kind of

2:08

the next semester which I think they

2:10

called finance 101 and was like

2:13

>> bond math discounted cash flows and I

2:15

was like oh this I like. Okay, I am in

2:17

the right place.

2:18

>> Well, it's much more realistic and

2:19

you're not dealing with homoeconomy

2:21

because that is this theoretical version

2:24

of humans.

2:25

>> Looking back on I wish I had listened a

2:27

bit more at some of those others. Um,

2:29

but you know, something I say maybe we

2:31

we'll get to is like it just a

2:34

recommendation I would give to other

2:35

people. It took me a little while to

2:37

realize what I was interested in, what I

2:40

was interested in being interested in.

2:42

>> And when I got into some of those

2:44

classes, kind of the more financy kind

2:46

of stuff, I was like, this I like this

2:48

makes sense. Uh, I want to learn more.

2:50

And I think that's kind of where it

2:52

starts. So I always wanted to get I just

2:53

like when there's, you know, numbers on

2:55

the page, it adds up to something.

2:56

You're trying to make money. It's

2:57

hopefully positive at the end. It might

2:59

be negative. It's pretty clear-cut.

3:01

>> Um, at least the goal is. And I always

3:03

like that. I always gravitated towards.

3:05

>> So, so economics way too abstract and

3:08

academic, but business and finance

3:11

practical, applicable, real life usage.

3:14

>> Yeah. Which is interesting too because I

3:16

also I'm a little bit like a this a

3:18

little exaggerated, but I'm a little bit

3:20

of like a history buff. So, like it was

3:22

interesting that that what didn't didn't

3:24

appeal to me because I do like kind of

3:26

the history of it. how did we get here?

3:28

And I think that's always something that

3:30

I'm like in this form as well. Um going

3:34

back to learn more about financial

3:37

systems, how money works, how they

3:39

thought it used to work, different

3:40

schools of thoughts, and I think it

3:42

really helps you understand where you've

3:45

been, where you are, where you're going.

3:47

So when you look back when you were

3:49

group treasurer or chief investment

3:51

officer at at the JP Morgan um division

3:54

you were you were involved in what sort

3:56

of lessons did you take away from that?

3:58

You're you're in the real world managing

4:02

real risk, real portfolios. H how did

4:04

that experience change how you perceive

4:06

risk?

4:06

>> Yeah, it's a great question. Um, and

4:09

I'll tell you, so I obviously I had a

4:10

career with a background in um, trading,

4:13

running trading teams both on the buy

4:15

side and the sell side. And it was

4:17

really that experience that this next

4:20

piece that was transformative for me and

4:24

um, you know, really brought us to the

4:26

point where um, my partner Derek Goodman

4:28

and I decided, let's form Merrick. And

4:30

you know, I'm sure we'll get into that a

4:31

bit, but what happened was I spent 20

4:34

odd years trading mortgages, rates,

4:38

corporate credit, high yield products

4:40

like that working with specialty finance

4:42

companies. Some that I worked with, some

4:44

I had a hand in running this kind of

4:46

universe. And then uh in late 2019, I

4:51

had the opportunity to move over and

4:52

this was different building, different,

4:54

you know, walled off key card, different

4:55

team, and be the CIO and the treasurer.

4:57

So this is now by side running the

5:01

capital of the firm, the investment of

5:03

the firm, hedging and managing

5:05

structural risk, lots of things wrapped

5:06

up in there. But the real thing was the

5:10

point in time where this happened was

5:13

late 2019, a few days later was the repo

5:16

crisis. If we remember that

5:18

>> when all of a sudden if you wanted to

5:20

borrow overnight against treasuries, it

5:22

cost you 10%.

5:24

>> Okay. Six months after that pandemic

5:27

breaks out. And why I bring that up is

5:30

so much changed in dramatic size at

5:34

rapid speed that I saw something I'd

5:37

never seen before. And it was how does

5:40

the financial system really work and

5:43

what does it mean and how does it apply

5:46

to everything that I've done? And it was

5:48

one of these moments where I felt like I

5:51

just went from being the captain of the

5:53

ship, you know, my own little thing,

5:54

right? We'll be a little expansive with

5:55

it. I went from being the captain of the

5:57

ship to going to work in the engine room

6:00

and seeing the actual gearing and how it

6:02

works and how it doesn't and what could

6:04

stop it from working. And you spend

6:06

years, you know, you pull a lever, you

6:08

think the boat goes faster, but you

6:09

don't know why. And you don't know what

6:11

could stop it from doing that. And you

6:13

don't know what could make it work more

6:14

efficiently. But now you go work in the

6:16

engine room and you see it and you

6:17

understand it. It was just this aha

6:19

moment like we're two guys with glasses,

6:21

right? So, you know, when you go to the

6:24

the you get a new prescription, you get

6:26

your new glasses, you put them on,

6:27

you're like, "Oh my god, I can see."

6:30

Right? And by the way, how was I walking

6:33

around the streets of Manhattan with

6:34

that old prescription, but now I could

6:36

see clearly. And honestly, 20 odd years

6:39

into my career, that's how I felt at

6:41

that that moment

6:42

>> in 2019.

6:43

>> Yeah. I would say like in early 2020,

6:45

about six months in, it was kind of

6:47

like, oh my goodness, it's coming

6:49

together now. I wish I wish I had known

6:52

this for the 20 years that preceded

6:54

this, but I felt like now I know nothing

6:57

and I'm starting to learn. So I have to

6:59

ask. So uh my experience with 2019 was

7:03

that wobble seemed to go by so quickly

7:07

compared to 0809 where you know to me

7:11

you saw a lot of warning signs first in

7:14

housing and then in securitized product

7:17

and then in construction and then you

7:19

know the market didn't peak till

7:21

October07 and the next 18 months were

7:24

kind of fun if you were on the right

7:26

side of it but if you weren't I it must

7:29

have been a blood bath. It sounds like

7:33

you derived more out of the 2019

7:36

experience than you were on a desk in

7:38

089. What sort of scar tissue did that

7:41

leave? H how informative was that

7:43

>> moment? It's really interesting the way

7:45

you kind of put those together. And um

7:48

so to set the table a bit 0708 when I I

7:51

got to JP Morgan late ' 06 07 0809 I was

7:56

in charge of um had a team we traded

7:59

asset back securities say credit cards

8:01

auto student loans um subprime mortgages

8:04

remember those?

8:05

>> Yeah. um CLOS's. So

8:09

really kind of like the center of what

8:12

ended up happening uh after that. And I

8:14

would say it was

8:18

so overwhelming at the time. I mean we

8:20

were there 2 in the morning handmarking

8:22

bonds. Okay. Walking across the street

8:25

between the two buildings like is there

8:27

more information? This company might buy

8:29

that company before the market opens.

8:32

What else can we do? Um the numbers were

8:35

huge. It was almost like a bit more than

8:37

you could process at the time. Um, but I

8:40

think each one of these became every

8:42

step there was like I understand what

8:45

I'm doing better now because but the

8:47

first thing I ever did was I started out

8:49

as a cash flow structure

8:50

>> and actually at that point in time um

8:53

the guy who ran the department was uh a

8:55

friend of mine named Bruce Richards who

8:57

went on to start Marathon and um has had

9:00

a fantastic career and we keep in touch

9:03

and he said I said I want to be a trader

9:05

and he said well I want you to be a

9:06

structure because if you learn how the

9:09

cash flow works, how the structure

9:10

works, then you'll be a better trader

9:12

later on. I think each piece helped me

9:14

understand the risk better and then the

9:16

system it sits in and that helps you

9:18

understand the risk better. And then

9:19

when you understand the risk better, you

9:21

understand the system it sits in better

9:23

and it builds and it builds on top of

9:24

each other. So I would say in '08 I

9:27

learned more in '08. We saw we felt like

9:31

we were the tip of the spear in like a

9:33

bad way and we could see it was getting

9:36

worse and it was accelerating and we

9:38

could see that people were maybe even

9:39

underestimating and I remember some

9:42

conversations around at the time um that

9:45

we were basically saying like think

9:47

bigger, think broader, think worse.

9:50

That's the context we're talking about.

9:52

But all of that helped me understand how

9:54

does my product I'm trading fit into an

9:57

investment bank? How's an investment

9:58

bank impact the system? Um, I think when

10:01

I went into 2019,

10:04

obviously a lot time had passed. I'd had

10:07

more experiences, etc. Um, I remember

10:09

sitting in a meeting. We're in 7:30 a.m.

10:12

traders meeting. This is uh with the CIO

10:15

group. Um, and we go around the table,

10:17

my, you know, rates lead, my credit

10:19

lead, etc. And the repo guys walk in and

10:22

they say, "Hey, we can lend against

10:25

treasuries at 10%. should we do more?

10:28

And I said, "Guys, I this is my third

10:30

day with this team." Okay. Um I'm the

10:35

person in the room who knows the least

10:37

about what you're talking about. But if

10:39

you need my authorization, you have it

10:41

because that sounds pretty great.

10:43

>> 10% yield against fantastic. My response

10:46

to you is

10:47

>> how much can we not can we do more like

10:50

how much can we do? Meaning more and

10:52

more. Um, and that just became the

10:55

beginning of like why did that happen?

10:58

How did we get here? What's the where

11:00

did it come from? Where does it go? And

11:02

I found that certain people knew certain

11:04

pieces but not the picture. And then

11:06

you're like it it it was just starting

11:08

to pull out

11:08

>> and that was your job to know the whole

11:10

picture.

11:10

>> It be it became it became the only it

11:13

became the focus of what I wanted to

11:15

know because unpacking that would help

11:18

me understand how do we get here? Why

11:20

does this happen? And by the way, what

11:22

are the pieces that put this all

11:23

together? Um, and how do we um how do we

11:27

take advantage of that? How do we

11:29

protect ourselves? But also, how do we

11:30

take advantage of that? So, it was this

11:32

the whole thing um was this one of those

11:35

types of things you say, I opened up a

11:36

door, three doors behind it, and I want

11:38

to keep going that direction. And it

11:40

felt to me like a purer and purer

11:43

version of everything I'd done in my

11:46

career. Getting closer and closer to the

11:48

source and pricing.

11:50

>> Really, really fascinating. One of the

11:51

things I think a lot of people don't

11:54

realize about JP Morgan Chase during the

11:57

financial crisis and I never uh doing

12:01

the research for Bailout Nation I never

12:04

got this really sourced the way I would

12:07

have liked to but JP Morgan Chase had

12:11

their own derivative scare a couple of

12:14

years earlier and the word was Jamie

12:17

just said clear all this junk off of our

12:19

balance sheet we don't we can't handle

12:21

this risk doesn't seem to be worth the

12:23

potential upside. So heading into 089,

12:26

they weren't dealing with the same sort

12:28

of um existential danger that Meil Lynch

12:34

and Wells Fargo and go down the list all

12:37

had all had to go through. They they

12:40

were ended up being an acquirer of

12:43

distressed assets, not a uh a seller of

12:47

distressed assets. Well, I think I mean

12:49

it was a tremendous place to work. I

12:51

worked with incredible people. I learned

12:53

a lot. Um, and I worked with great great

12:56

people that you're just part of a

12:57

terrific team. It's a fantastic place.

13:01

I learned something that became

13:04

transformative to everything I'd spent

13:06

my career doing. So, that's why we set

13:08

out to and I said, I want to do this.

13:10

And that's why we set out to build MER

13:13

when we said, you know, I recall Derrick

13:15

and I sat down one day and I said, "Let

13:18

me just here's how I think about

13:20

markets. I think about it in terms of

13:23

money, capital, credit, liquidity, and

13:26

regulation." That's my five. Money,

13:29

capital, credit, liquidity, regulation.

13:31

MCCLR.

13:32

>> How do you separate money from capital?

13:34

>> So, I think money to me is how do you

13:37

make it? How do you destroy it? How does

13:39

it move through the system? To me,

13:40

capital is a little bit more of how much

13:43

do you have? How do you measure it? How

13:46

much do you have? Are you making more?

13:47

Are you destroying it? Credit is really

13:50

how is it being formed? How is it moving

13:52

through the system? The financial system

13:54

is changing now.

13:56

>> It's very different than it was a few

13:57

years ago. We actually when we were you

14:00

know really trying to get our ideas uh

14:02

on paper we wrote a paper that we

14:05

outlined saying we described what we

14:07

thought was the new version of the

14:09

financial system. We said the financial

14:10

system is changing. You're de facto

14:13

recreating glass steagall. You have

14:16

gibbs if you come from some of this

14:19

framework you know are the globally

14:21

systemat systematically important banks.

14:23

systemically important banks. Think JP

14:26

Morgan, Wells, Bank of America, etc. Um,

14:28

we said there are the new GIBs, people

14:31

like Apollo, Blackstone, KKR, Black

14:34

Rockck. These are Aries. These are the

14:37

folks that are actually making credit

14:39

extension decisions in this economy.

14:42

Okay, you have the traders like Citadel

14:44

Securities,

14:46

uh, Jump, Jane, some of these other

14:47

names everybody's familiar with. This is

14:50

disagregating the financial system and

14:52

putting it into different buckets. So

14:54

basically we think about where's it

14:57

coming from, where does it go, who wins,

14:58

who loses, what are the flywheels here.

15:01

Um this is a process that we apply to

15:04

everything we do. Some of the guys on

15:06

the team call it MC Clear um MCCLR. It's

15:10

the lens that we look at because we

15:12

believe money, capital, credit,

15:15

liquidity, and regulation drives

15:17

economies, markets, and prices. And then

15:20

you can really start to understand

15:22

monetary policy, real estate, housing,

15:27

um the types of specialty finance

15:29

companies, we've talked about, consumer.

15:31

So, this to me actually explains how it

15:35

all works and we apply that. It's a huge

15:38

addressable universe. Um, we trade

15:41

rates, mortgages, securitized products,

15:43

corporate credit, related equities. It's

15:45

an enormous addressable universe with

15:48

investors that have very narrow mandates

15:50

that transact at different points in

15:52

time and sometimes non-economically and

15:55

bound by potentially non-economic rules,

15:58

which means there are a lot of overlaps

16:00

that people don't take the advantage of,

16:02

and there's a lot of gaps that they

16:04

quite simply don't bridge. and the setup

16:08

for all of this, I think, um, and I've

16:11

seen some stuff. Um, a lot of your, um,

16:14

your your listeners have, um, seen quite

16:17

a bunch of stuff. We've seen things go

16:19

right. We've seen things go wrong.

16:21

This is one of the best setups we've

16:23

seen in a long time. And so, that's why

16:25

we went out to say, um, I saw some

16:28

interesting stuff. I learned some

16:30

interesting stuff. There's an

16:31

opportunity set that we want to

16:33

prosecute right now. And it is an

16:36

incredible time to do so. So we built

16:38

the team. Sorry, go ahead. I was going

16:39

to say I was just going to No, I'm

16:41

fascinated. I want to roll back to

16:43

something you said earlier, which was

16:46

GlassSteagall is sort of being backdoor

16:49

reapplied.

16:52

Is that a function of people being risk

16:55

averse or is that a function of people

16:57

just specializing in their own silo? So

17:00

you don't have, you know, glass deagle

17:03

for people who aren't uh economic and

17:06

policy wonks separated the FDIC

17:10

safe banks from the riskier investment

17:14

banks. And once that was repealed in the

17:16

late 90s, didn't cause the financial

17:18

crisis, but allowed all these banks to

17:21

merge and get bigger. And maybe it made

17:23

the crisis a little worse, but it I

17:26

don't I don't think of it as the

17:27

underlying cause. But um the idea that

17:31

the market is working its way back

17:34

towards that is kind of fascinating.

17:36

Let's address that.

17:38

>> Right. As you laid out like glass

17:40

seagull to say to oversimplify basically

17:43

said like you can hold deposits, you can

17:45

underwrite securities, you can trade

17:47

securities, things like that. Um and

17:49

there were rules.

17:51

Right now, there are like some rules

17:55

that say what you can and can't do, but

17:57

really there's a lot more that has

17:58

morphed into um what people like to call

18:01

private credit or we're going to extend

18:03

credit through these fashions or some of

18:05

the rules don't apply to this group. So,

18:08

we can trade the markets differently or

18:09

we can make markets in a way that maybe

18:12

um the big banks can't and then the big

18:13

banks say, well, we're viewed as super

18:16

safe because I would argue we are and

18:18

that has its advantages also. So it's

18:20

like recreated these artificial

18:22

boundaries. What is great for us and the

18:26

way we look at the world is we saw that

18:28

we see that we understand that we also

18:31

see and understand and think about all

18:33

day long and put it into our portfolio

18:36

construction and the the the risk that

18:38

we build. It's all up for grabs again.

18:41

Right. So, um, we've got Kevin Worsh

18:45

nominated to be the Fed chair and Mickey

18:48

Bowman is the vice chair for supervision

18:51

and they are, um, I don't know what what

18:55

the right adjective for it is, but

18:56

they're changing the rules and they're

18:59

pulling some of them down. And in my

19:01

opinion, people just don't understand

19:03

which of them matter and which of them

19:06

don't. and the market moves to place on

19:08

some that simply don't matter like its

19:11

lack of understanding of what SLR was

19:13

and how that worked and we don't need to

19:14

dive into that but to simplify they said

19:16

we're going to remove this rule and it's

19:18

a big deal and we at MARIA said you can

19:21

take it off it doesn't matter so

19:23

everything the market's doing in

19:24

reaction to that is a potential

19:26

opportunity for us

19:27

>> in other words people are overreacting

19:29

to a regulatory change that isn't

19:32

significant long term

19:33

>> in that example yeah

19:35

>> really interesting

19:36

Yeah. Are we in all that unique a period

19:40

of time? Is the opportunity set that

19:43

much greater than what we typically see

19:45

in the normal? You know, this is a

19:47

little more geopolitically volatile

19:50

administration than than even the

19:52

previous Trump administration. Is that a

19:55

driver or is it the deregulation and

19:58

misapprehension of of what these rule

20:01

changes mean?

20:01

>> I think it's a combination of what's

20:03

going on. So we have we just kind of use

20:05

some little catchphrases among the team

20:07

that help us sort of like you know

20:09

gravitate around concepts or communicate

20:12

quickly. Um we say this is an

20:14

administration that's in the business of

20:15

being in business

20:17

>> and that's just a there's no opinion or

20:20

judgment one way or the other. It's just

20:21

it's just a statement. Um

20:25

what this environment is also we also

20:27

came up with something that we thought

20:29

was just made us chuckle one like it's

20:31

important to have a little bit of sense

20:32

of humor. We found our investors

20:34

actually do read the materials very

20:36

closely and they tend to have a sense of

20:37

humor which is good. But we created this

20:39

thing we called the one big beautiful

20:40

chart.

20:41

>> Uhhuh.

20:41

>> And we just said you know what they

20:44

really need they need rates to get down

20:47

and they need it to come down a lot more

20:49

than what the market and the curve has

20:51

already priced in because of how much

20:54

debt the country has, what it costs,

20:56

what they want to accomplish. So here's

20:57

what they need to accomplish and they're

21:00

going to do everything they can to it.

21:01

So you know we construct poor portfolio

21:03

we have a nar we have an investment

21:04

thesis we have a narrative everything we

21:07

put in the book has to fit that

21:08

narrative has to contribute to what

21:10

we're trying to achieve has to be the

21:12

best version of that or it has to

21:14

protect us from what could go wrong so

21:16

getting back to your question a little

21:17

bit we think it's a very business

21:20

forward environment uh business forward

21:22

administration

21:23

um we think that it is one that needs

21:26

rates to come down we are going to have

21:29

a new Fed chair in the middle of June

21:32

and there will he'll say all sorts of

21:35

things in the confirmation hearing but

21:36

really it will be um a catalyst

21:39

potentially for change uh in the middle

21:42

of the year and then we have a bias

21:45

within markets to strip back some of the

21:48

layers of of regulation and away from

21:51

whether you support that or not I can

21:53

tell you because I've been on the other

21:55

side of it the layers of process and

21:58

bureaucracy and spending your time

22:01

backsolving instead of what could we do

22:03

better when you change

22:06

what your goal is and how you're

22:08

pointed, you're going to get different

22:09

results. We think that combination is

22:12

spinning flywheels in the market now

22:14

that um in our opinion people are just

22:18

they're underestimating the power of

22:20

some of these flywheels.

22:22

>> Really, really interesting. Last

22:24

question before we talk a little bit

22:26

about Merrick. Um, in the old days, and

22:29

I was never a big believer in this, but

22:32

everybody else was, there was some

22:35

constraints on deficits and ongoing

22:38

government debt because the bond

22:40

vigilantes would punish you. The bond

22:43

vigilantes seem to have disappeared in

22:46

part replaced by the stock vigilantes

22:49

who any policy they don't like they just

22:51

sell off until they have their hissy fit

22:54

until they get their way and then okay

22:56

thank you very much and we're off to the

22:58

races again. Uh what do you think of the

23:02

you know 80s 90s era bond vigilantes? Is

23:05

that just ancient history? there's no

23:07

discipline on deficit spending anymore

23:10

or and by the way I think deficits are

23:12

not all that relevant look at Japan look

23:15

at the US history we've been warned

23:17

about deficits and they haven't caused

23:19

much of a problem most of this history

23:21

>> yeah I mean look I love the term and I

23:23

think we've seen some of those episodes

23:26

um last year we saw um around the

23:30

whatever we call liberation day in April

23:32

like there were a couple days where

23:34

treasuries and mortgages said like

23:36

enough. Okay, that's it. Um, and we're

23:41

either going to have one of those days

23:43

where they are giving stuff away or you

23:45

got to pull back. And I think what we

23:48

saw was the administration did pull

23:50

back. So I think in some level it's

23:52

still there. But part of what we do at

23:54

MARIC and what influences our thought

23:56

process is um big parts of this have

23:59

been really broken down. The markets are

24:01

so big now that it's been broken into

24:03

specific functions like people have a

24:05

thing to do and they do that in a narrow

24:07

mandate. We have a more flexible mandate

24:10

to us. The products, they're widgets.

24:13

They're tools in the toolbox for us to

24:15

achieve our goals and our investment

24:17

thesis and the portfolio risk and

24:19

construction and diversification that

24:21

we'd like to have. Um, but the markets

24:24

are hyper specialized in very very large

24:26

markets. So, you get some of those

24:27

episodes where it's like, uhoh, crowd of

24:30

trade, we got to get out. Um, I think

24:32

the question of

24:34

um, does the administration react to the

24:36

markets? Does the markets react to the

24:38

administration? It's something that

24:39

we've actually focused on uh, quite a

24:43

bit. We actually um

24:46

you know we wrote another piece in June

24:50

of 2025 that we called the warfed and it

24:54

was just about what could happen and we

24:56

sort of went through to your point like

24:58

the concept of risk-free rate and credit

25:01

spread are completely intertwined and

25:03

co-mingled now and they don't exist

25:04

separately. So I think that's some of

25:06

the concepts you're getting at like is

25:08

this um a problem for credit? Is it a

25:12

problem for rates? Are those the same

25:14

thing? Now, um, one of the most

25:17

interesting things and, um, I would just

25:20

say before we get back to your your

25:21

question is, um, what was really

25:23

interesting observation to us was during

25:25

the last government shutdown, whatever

25:27

mini version of that we're going through

25:29

right now, it was almost in the data was

25:32

not forthcoming and then V went down.

25:35

So, it was this sort of like a little

25:38

bit like if we don't know, maybe

25:40

nothing's happening. But what it also

25:42

was was a little bit to the to what you

25:44

were saying is

25:46

when things were a little less

25:47

hyperfocused,

25:49

they actually were a little less jumpy

25:52

around um small moves. And that was a

25:55

big takeaway um big takeaway for us.

25:57

It's a big thing you're going to hear

26:00

from Kevin Worsh if he ends up in the

26:03

chair seat. Um, you're going to hear a

26:06

long narrative from him for his time in

26:09

that seat of we need to step back from

26:11

the day-to-day and the minute-by-minute

26:14

information and think about the bigger

26:16

picture and the trend and where we're

26:17

headed and be a be a little more

26:20

forward-looking. I think that's the kind

26:21

of guidance that you will get from that

26:24

chair.

26:25

>> Really, really interesting. So, so let's

26:27

just start out with why you left the

26:30

comfort of a big shop to have the uh

26:33

headache of your own firm. What What's

26:35

the elevator pitch? What problem does

26:38

Mara Capital solve that couldn't be

26:40

solved at a large Wall Street bank?

26:44

>> Look, I think quite simply there are

26:46

some things that banks can do and some

26:48

things that banks can't do. There are

26:50

some things that they can do and that

26:51

they don't want to do. Um in my career

26:55

I've always been involved in these types

26:57

of markets being rates, mortgages,

27:00

curized products, corporate credit, the

27:02

equities related to that that around it

27:04

these types of specialty finance

27:06

operating companies and always felt that

27:09

when you have when you can apply the

27:12

various lenses to these products being

27:15

the trader lens, the structurer lens,

27:18

the operator lens, you understand it

27:20

better and you get the gearing and the

27:22

pieces. is and when you learn about the

27:25

financial system that it sits within

27:27

then you actually can understand but

27:30

take advantage of the risk and return in

27:34

a more elevated and efficient way.

27:37

>> I want to address that. Is it that the

27:39

big firms, the bigger banks were risk

27:42

averse and didn't want to take advantage

27:44

of it where they were prohibited on a

27:47

regulatory basis or when they're just

27:49

doing their macro risk assessment? Hey,

27:51

we'll go this far, but no further.

27:53

>> I I think it's even simpler than that.

27:56

Um, we look at the world through our

27:59

lens. We look at the world through the

28:02

Maric lens of money, capital, credit,

28:04

liquidity, and regulation,

28:07

which drives economies, markets, and

28:08

prices.

28:10

That helps us understand the drivers of

28:14

the capital markets that we sit within.

28:16

helps us understand monetary policy,

28:19

housing finance, commercial real estate

28:21

finance, understand both the gearing of

28:24

it. Then you can look at something and

28:25

you can say, "Okay, I'm looking at

28:27

Croup. I could buy it. I could sell it.

28:30

I could understand what they're doing in

28:31

the markets they have a footprint in,

28:33

what that means for the markets. Do I

28:35

want to buy that? So like where are the

28:36

flywheels? What does it spin to next?"

28:38

So everything we were doing was very

28:40

much about

28:42

what do we want to do? Because we see a

28:45

very large addressable opportunity where

28:48

we have a unique perspective, a defined

28:51

lens and a way of applying that to these

28:54

big liquid markets that we think very

28:57

strongly we can take advantage of in a

28:58

way that people simply haven't had the

29:01

opportunity to learn about and to

29:03

understand and apply to these products

29:06

with the type of flexible mandate that

29:08

we have. Which boiled down means we look

29:11

at the world a little differently.

29:14

These are big addressable markets which

29:16

have dislocations, volatility, and

29:18

opportunity all the time. And we can use

29:21

that combination to achieve what's a

29:23

very very simple goal. Improve the

29:25

return a little bit while reducing the

29:27

risk a little bit.

29:28

>> That's all anyone can ask for. Better

29:30

returns at lower risk. Um I'm I'm kind

29:33

of fascinated by the overall Merrick

29:36

investment philosophy. We'll get to but

29:38

let's let's start a little bit with

29:40

structure. I think of you guys as an alt

29:44

credit shop, but you also look a little

29:47

bit like a multistrat shop. Like a is it

29:50

kind of a hybrid? Like tell us about the

29:52

structure.

29:53

>> Um we just define what we do. Okay. We

29:57

are who we are. We do it the way that we

29:59

do. Um

30:03

we run we're right now we're running a

30:05

hedge fund um which trades these

30:08

products as like I said it's tools in

30:11

the toolbox as as widgets. We do it in

30:13

one collaborative portfolio. So our

30:15

setup our structure we've got an amazing

30:17

team. Um we have specialists in rates in

30:21

mortgages in non- agency mortgages and

30:23

ABS in credit in CLOS. Um I am on the

30:27

phone every day with traders and

30:29

salespeople myself. Um we trade it as

30:31

one book,

30:32

>> one portfolio. So it's really a

30:34

multistrat within a single um

30:39

expression.

30:40

>> It is what we think is the best

30:42

expression of the trade

30:44

>> or I shouldn't call it multistrat. It's

30:46

really multi-asset. It's a variety of

30:47

different credit assets all under one

30:50

umbrella

30:51

>> within our lane. Okay. Sticking to our

30:55

knitting. what we believe we know very

30:57

well. Um what we know we have a

30:59

differentiated insight into

31:02

>> and extracting from that. Okay. The team

31:06

is phenomenal. Um they have a ton of

31:09

buyside and sellside experience. They

31:11

work very well together. Um it's very

31:14

exciting to be I mean and and

31:15

additionally

31:17

doing this together like Derek and I

31:20

doing this together putting our name on

31:21

the door like Marrick is Matt and Derek,

31:24

>> right? Um because we spent way too much

31:27

time trying to think of what's a clever

31:29

name.

31:30

>> They've all been taken. Good luck in New

31:31

York.

31:32

>> Means, you know, alpha extraction in

31:35

Sanskrit or some something, you know.

31:37

And um Derek's wife one day was like

31:40

enough. It's Marrick. Matt and Derek now

31:43

go do some real work. And I think she

31:45

said in a little bit more of a spicy

31:47

way. Um but we were like, "Yeah, that

31:49

could work. All right, let's do that." I

31:51

think just a little footnote, if you've

31:54

ever incorporated an LLC or any other

31:56

entity in New York State, every Greek

31:59

and Roman god, every Babylonian god,

32:02

every cereabus, name the creature from

32:05

mythology, it's either a fund or an LLC,

32:09

they're all they're all taken. It's

32:10

astonishing.

32:11

>> But the real point I I I wanted to make

32:13

also um that I don't want to lose is

32:16

this is putting our name on the door.

32:18

Okay? It's our name. It's our reputation

32:20

because and that really cemented it for

32:22

us. That was something we really wanted.

32:24

I took some time off and which was

32:26

fantastic and I met some of the most

32:28

amazing and interesting people in the

32:29

world. When you're unaffiliated, people

32:32

speak to you in a different way because

32:34

they have no one to talk to. Okay. I sat

32:37

down with the CEO of one of the world's

32:38

largest pension fund uh sovereign wealth

32:40

funds and we had and I'd never met the

32:43

person before. We had an hourlong

32:44

conversation

32:46

because

32:48

he just needed to talk to someone and I

32:50

learned a lot in that and I met some of

32:52

the most interesting people in venture

32:53

cap in um alts in private equity etc.

32:57

And it was just more way of learning

32:58

parts of the system but it got to the

33:00

point where after my you know academic

33:03

wander through the wilderness I was like

33:05

okay you know what um this at the time

33:07

we had three teenagers living at home

33:09

and it was an amazing time. I used to

33:10

always say you should be able to retire

33:11

in your 40s and go back to work in your

33:13

50s. Like that's the way business should

33:14

work. Um obviously that's a luxury that

33:17

very few have. But um

33:21

I was getting to the point where I was

33:23

like, "Okay, I feel great. I want to do

33:24

this. I miss markets. I love this. I

33:26

want to get back to it and I want to do

33:28

it in the way that I want to do it."

33:30

>> How long of a gap was that between

33:32

>> I took like about a year off. You know,

33:33

it's a you know it's a riot. So in our

33:36

deck, we put a little timeline of my

33:39

experience and Derek's experience and

33:41

just to help people understand who

33:42

hadn't met us, who we are.

33:43

>> Uhhuh.

33:44

>> And at the very end, I put, you know,

33:46

this my background simple. I was here

33:48

for 10 years. I was there for 16 years.

33:50

And then we put like a little one-year

33:53

nugget on the end of the timeline that

33:54

just said chilling with no G. No G. Just

33:58

C H I L L I N.

34:00

>> Right.

34:00

>> I don't remember. very unw wall street

34:04

sort of

34:05

>> thing. It was like our 900th version of

34:07

the deck and we were just getting a

34:08

little punchy and we're like it made us

34:10

laugh. Okay, you got to have a sense of

34:12

humor. It made us laugh. So we're like

34:14

this is going in.

34:15

>> Every investor brings it up. They bring

34:18

it up and they love it. And you know

34:19

what to us it's like wow you are reading

34:23

every part of the deck and also it's

34:25

nice to know you have a sense of humor.

34:27

But getting back getting back to it was

34:29

like

34:29

>> people this is always shocking people

34:32

read the footnotes.

34:33

>> Oh yeah that's been a big learning for

34:35

us. They read it. Um so when we were

34:37

doing all this you know my wife was like

34:40

yeah why would you want to do something

34:43

for anybody else?

34:45

>> And I thought to myself exactly what are

34:47

we going to work harder at? What are we

34:49

going to make sure succeeds? the thing

34:51

that we put our name on the door, our

34:53

reputation that we believe

34:56

other people don't get it, that we

34:59

believe is the right way to approach

35:01

these markets that we believe can

35:03

extract from a setup is which is one of

35:06

the best that we've ever seen. So if you

35:09

tick all those boxes,

35:12

why would you do it for anybody else?

35:14

>> Huh. Really, really intriguing. So it's

35:16

2026. I'm legally obligated to ask how

35:20

do you use artificial intelligence in

35:22

research, portfolio construction or

35:24

operations at Meritt Capital?

35:27

>> Sure. I would I was make two two points.

35:29

I'm an AI optimist. That's not one of my

35:31

two points. So that doesn't count.

35:33

>> Um we use it every day. We build stuff

35:36

more quickly. We build our own tools and

35:38

we build them more quickly than we ever

35:40

could before. You know, the guys on the

35:41

team, they're building stuff at their

35:43

desk in a week that would have taken a

35:45

year to do somewhere else, literally.

35:47

And I know because I've been in that.

35:49

And then once you built it, it would

35:51

have taken like six months to get

35:52

approval to release it into your s etc.

35:55

This is like light speeded versus what

35:57

we used to do. Now

36:00

changing a little bit of how you frame

36:02

that question. Um AI is a really really

36:06

interesting um thing in financial

36:09

markets as well. Okay. So I don't think

36:12

we're there yet, but we're going to get

36:13

to a place where people are using it for

36:14

risk management. They're using it for

36:16

compliance. are using it for KYC. Put

36:18

all that aside. The most interesting to

36:20

me right now is we look at the AI capex

36:23

boom

36:24

>> and we say here's a product that is

36:27

commercial real estate with securization

36:30

technology around it. You're talking

36:31

about where is it? Is it built? If not,

36:34

how long is it going to take to build

36:35

it? Who are the tenants? How long are

36:38

the leases? What are they paying? What's

36:40

it worth when it's all done? Is there

36:42

residual risk like you have in an auto

36:44

lease?

36:46

only some of it comes to the securitized

36:49

market because it's just not that that

36:51

market is not big enough for it, right?

36:52

So it comes to the corporate bond

36:53

market. So that to us is like that's the

36:57

type of opportunity that piques our

37:00

interest where we say um this is

37:03

something that looks like ABC

37:07

and being wrapped up and put into a

37:10

different market that is asking one,

37:12

two, three. And those are good

37:13

questions, but it's really like put it

37:16

all together, look at all the factors.

37:18

What are the additional? Are you getting

37:20

more structure? Are you getting less?

37:22

Are you charging for the risk? Are you

37:24

paying away for it? So the AI capex boom

37:26

to us is actually like a source of very

37:30

cheap risk for us to look at. And each

37:32

one has a little bit of different flavor

37:33

and we're very opinionated about which

37:34

ones we like.

37:35

>> Huh. It sounds It sounds really

37:37

fascinating. It also sounds like um

37:40

anytime there's a novel area, the

37:43

opportunity for mispricing seems to

37:46

really

37:47

>> there's that there's that um we look at

37:50

some of those firsttime issuers. We have

37:52

like we have some things in the book. We

37:54

have something called the Northstar

37:55

playbook,

37:56

>> which is what are companies and bonds

37:59

that have clear missions and objectives

38:01

that they can execute on that are

38:03

aligned with us with the instrument that

38:05

we have or misaligned or that they're

38:07

not able to execute. Um, but some of it

38:11

it's actually not just about the novel

38:13

structures. Let's look at agency

38:15

mortgage back securities. Those have

38:17

been around for a long time. Okay.

38:19

couple weeks ago tweet from the press or

38:22

whatever we call a post on Truth Social

38:24

4:26 PM. I've instructed my

38:27

representatives to buy 200 billion of

38:29

agency MBS. Boom. Bomb in the agency

38:33

mortgage back. This is a there are it

38:37

billion 12 trillion of these things

38:39

outstanding in the agency mortgage

38:41

market. It's nine trillion hundreds of

38:43

billions of it trade every day. And that

38:46

was a aftermarket

38:48

post tweet. Um

38:51

complexity event. So then

38:53

>> are you out buying into that that rise

38:56

to take advantage? Are you are you a

38:58

price taker or a price maker? What are

39:00

you doing when that that's happening?

39:01

>> It's both. We look instantly like what

39:03

does this mean? What was our

39:04

expectation? Now in that instance we

39:07

expected the GSC's who will be the ones

39:09

who actually buy. We expected the GSC's

39:11

to be buyer.

39:13

I think our view was a little bit at the

39:14

high side or out of consensus. Even we

39:16

thought this is going to be a support

39:18

mechanism for this market over the

39:19

course of the year. Fanny and Freddy are

39:21

going to buy a lot of this stuff

39:22

>> assuming they haven't already started.

39:24

>> Well, they had been and that's a great

39:25

point. They had been but buying 200

39:28

billion with like an aftermarket tweet

39:30

and nobody knew like is it going to be

39:31

200 and then another 200? Are you going

39:33

to start buying are you going to buy 40

39:35

tomorrow? How's this all going to work?

39:37

Um this exceeded even our expectations

39:39

and you saw right away. Um, I think we

39:43

were positioned for that type of event.

39:45

Um, we were positioned to take advantage

39:47

of some of the policy risk as opposed to

39:50

get hit by some of the policy risk. You

39:52

could see that um, there was a massive

39:54

short covering rally right after that.

39:57

Um, and you could see that that wasn't

39:59

necessarily people's expectations and

40:01

how they were uh, how they were set up

40:03

for.

40:04

>> I have I have a mortgage related

40:06

question to this, but I'm going to save

40:07

it to the next segment. So, we were

40:09

talking earlier about the Trump tweet uh

40:13

directing the GSC's to buy $200 billion

40:16

worth of agency paper. You would have

40:18

thought that should have sent yields

40:20

plummeting and mortgage rates down,

40:23

which would stimulate the housing

40:25

market. I assume part of the motivation

40:27

for that tweet and for that purchase.

40:30

What What's going on in that market? And

40:32

why does it seem so difficult to drive

40:36

rates lower? Right. That's a great

40:39

question. And as silly as it sounds,

40:41

like 200 billion, it's just not enough.

40:43

>> Pocket cash, right? Walking around

40:45

money.

40:47

>> That's one way.

40:48

>> I mean, in a 12 trillion market, 12

40:50

trillion, it's not even 1%.

40:52

>> Yeah. If you're if you are if you've got

40:54

35 trillion in treasuries outstanding

40:56

and Yeah. Yeah. Um it's a big number and

40:59

it moves the needle. But what they they

41:02

really want to move it and keep it

41:05

there. Like that's a little bit of the

41:07

hard part because don't forget that the

41:09

Fed owns 2.2 trillion. So they're going

41:12

to buy 200 billion.

41:15

Didn't give a lot of information and

41:17

that sort of helped them in that moment.

41:19

The lack of information after probably

41:22

led some of it to kind of like bleed out

41:24

and unwind a bit. But the Fed owns 2.2

41:26

trillion and those are paying off and

41:29

that's approximately 180 billion a year.

41:33

So then you start to think about like

41:34

well if the rate moves and mortgage

41:37

prices go up are some of the money

41:39

managers just going to sell a hundred

41:42

billion over time and do you kind of

41:44

neutralize it? So I think it's helpful.

41:46

Um it's indicative here's the real

41:49

takeaway for us. Okay. So at that moment

41:51

it's how do we trade this? What's the

41:54

price? What's the next step? But then

41:55

we're really thinking from there like

41:57

what does this mean? What's going to

41:59

happen next? Um and sort of

42:02

coming full circle. What it really does

42:04

is show you how hard they're going to

42:06

try to drive the mortgage rate down to

42:10

drive rates down overall to um sign up

42:13

for an agenda and a plan to get rates

42:17

down. Okay. So, some of it is what do we

42:20

do in that specific market and some of

42:21

it is how is it informing our view of

42:24

the bigger picture. So, you guys have

42:26

two

42:28

I I don't want to say conflicting, but

42:30

somewhat different

42:33

um risk factors you're juggling with.

42:35

Obviously, when you buy paper, you're

42:36

thinking long term, and we want to watch

42:39

this play out to our broader thesis, but

42:42

at the same time, you're actively

42:44

trading on the short term.

42:47

>> How much do these complement each other?

42:49

or do you ever find yourself long in one

42:53

duration of the portfolio and short in

42:55

another? How do you how do you balance

42:56

this out?

42:57

>> Yeah, I mean we have longs and shorts

42:58

across the book within mortgages, within

43:00

credit. Um we there we're you know long

43:03

what we like and short what we don't to

43:05

keep it super simple. Um or long what

43:08

helps uh contribute to our thesis or

43:11

protect and vice versa and you know

43:13

protect the convexity profile that we're

43:15

looking to achieve. Um we are we trade

43:18

every day. We are active in these

43:21

markets. It's part of more of a sort of

43:23

a medium-term um thought process how

43:26

they're going to play out, but every day

43:28

is iterating on that. Is this still what

43:31

we think? Are we positioned with the

43:33

best version of it? Do we have the bonds

43:35

that are going to contribute to what we

43:38

are trying to achieve? Like right now,

43:40

we're very focused on the flywheels that

43:43

exist within financing markets. And if

43:46

you think about what does that mean?

43:47

Okay, so rates come lower. We tal rates

43:50

go lower. We talked about that a little

43:51

bit. But credit spreads are also really

43:54

tightening. And when rates are lower and

43:57

credit spreads are tighter tighter, your

43:59

cost of borrowing has gone down means

44:01

you can refinance all sorts of assets.

44:04

It means some assets are even at that

44:06

point in time worth more valued highly.

44:09

Now that it's worth more, you've got a

44:11

lower LTV loan that you could take out

44:13

an even tighter credit spread on. And

44:16

how do these spin and what is this? So

44:18

this is very much what we're thinking

44:19

about now. I think the market completely

44:22

underestimates the power of those

44:24

flywheels and what it can be achieved.

44:27

So we that is one of we look at our

44:30

portfolio and say we want to have about

44:31

20 trades in it. And a trade is not one

44:34

line item. A trade could be 30 line

44:36

items. But the flywheel is a trade. It's

44:39

a little bit of a maybe even a bigger

44:41

higher order one. But we look at what is

44:45

happening at that moment. Is there

44:48

something to take advantage of? But also

44:51

what are the ripple effects of what's

44:53

happening in that moment and what does

44:55

the market need to do? What is it going

44:57

to do? Does it understand this? And then

45:00

we unpack it and say like where's

45:01

where's the opportunity? So coming back

45:03

to what we talked about, we believe when

45:06

you look at the world through this lens.

45:09

>> We look at markets through the Maric

45:12

lens

45:14

that the lack of connections made

45:16

through these markets and the lack of

45:17

extracting from some pretty obvious

45:19

pockets are an opportunity an o like we

45:24

talked about to improve your return and

45:27

reduce your risk. And it's a process. So

45:30

it's just as much a process in a machine

45:34

through which you're extracting alpha

45:36

from from the market. We have our views.

45:38

We hope to be right. It's also it's a

45:42

process through which you work through

45:44

these markets that you extract all the

45:47

time. And the mandate is pretty clear.

45:48

Like as I think of it, the mandate's

45:50

very clear. You need to make money when

45:52

markets go up and you need to make money

45:54

when markets go down.

45:57

Every day, every month, every quarter,

45:59

every year. and you probably won't, but

46:01

that's the mandate that you're going

46:03

for. And it's it's quite simple when you

46:04

frame it out that way.

46:05

>> You mentioned in 2019 there was a sea

46:08

change in how you perceived what was

46:10

happening in the market and how

46:12

different that had become. How does that

46:15

affect how you look at and define risk?

46:18

It it risk definitions have obviously

46:21

changed over your career, but 2019 was

46:24

such a sea change. What's different

46:26

about managing risk today? Yeah, I think

46:30

I believe managing risk at scale is a

46:32

skill.

46:34

Okay,

46:36

you have your numbers and you want to

46:37

know what those are and those are

46:39

indicators and those are starting

46:40

places. VAR is a number and a starting

46:43

place and an indicator. Stress is a

46:46

number. DV1, CSO1, these are we I like

46:50

to look at the world in a stressbased

46:52

framework and we create a bunch of

46:55

different stresses. Some are quite

46:56

simple. Um, rates go up, rates go down,

46:59

credit crunch, a flight to quality. Some

47:01

we had our little like, you know, we're

47:04

getting a little punched. We have one we

47:05

call QE for Eva and Eva.

47:07

>> Um, and looking at these, it's really

47:10

about like it's a starting place for a

47:12

conversation, okay? Because you do need

47:15

to know where it's coming from and

47:17

what's the attribution, what's the

47:19

return attribution, where's it, where

47:21

you hoping it comes from, and what's the

47:22

risk attribution? And very importantly,

47:25

what could go wrong? um understanding

47:28

that what you're trying to achieve, but

47:30

knowing where the exits are. Like I

47:31

think it's really like a philosophy to

47:34

to risk and to managing risk to make

47:37

sure you're pointed to achieve your

47:39

goals

47:41

um while managing your risk properly and

47:45

knowing what you would do if things

47:47

changed. Right? You have a plan and then

47:49

things change.

47:51

>> Really, really interesting. What when

47:53

you're looking out at a variety of

47:55

different opportunities, what do you

47:57

think today presents the best risk

48:00

opportunity? You're looking at

48:02

structured credit, corporates, relative

48:04

value. What what what is really drawing

48:06

your attention?

48:07

>> Yeah, we really thought that one of the

48:09

places to extract from the flywheel is

48:11

in securitized markets.

48:13

>> Um actually, as an example, like we've

48:16

been very focused on um Trophy Quality

48:19

Office and Gateway Cities, and this goes

48:21

back a little ways. These are the super

48:23

a resident um commercial real estate

48:26

office, right? So that all came to be

48:28

from us pulling at the thread of how the

48:30

financial system works. We talked a

48:32

little bit about the new gibs and what

48:34

you had was everybody was going back to

48:35

work back to the office but took longer

48:37

than we kind looking back on it that

48:39

took a long time. The part of the

48:41

financial system that was changing were

48:43

those new GIBs Apollo Aries KKR

48:45

Blackstone Black Rockck and they were

48:47

coming back to office and they were

48:48

growing and they were finding that two

48:50

things. one, they needed nice offices to

48:52

kind of, you know, get everybody where

48:54

they wanted him to be, but also they

48:56

were growing and they outgrew what they

48:58

had. And then they went looking for

48:59

more. And what they found was there's

49:02

actually not that much trophy real

49:05

estate out there. And so like our view

49:07

on the evolving financial system led us

49:10

to have very strong conviction about a

49:12

supply demand imbalance in commercial

49:14

real estate when applied correctly. And

49:16

then we just looked for what's the best

49:18

place. and it's tightened a lot, but

49:21

actually we think it continues to and

49:23

has been because it's like the it's

49:26

continued to be one to two steps behind

49:29

the fundamentals. So what that really

49:31

means the way we think of to wrap it up

49:33

in a nutshell, this is a triple B bond

49:35

that we think is a double A. Hm. Really

49:38

really because everybody's painting with

49:39

a broad brush of hey forget B's even A

49:43

buildings are 60% occupied in terms of

49:47

>> but they're not they're 100% occupied

49:48

with

49:49

>> I mean in terms of staff returning to

49:50

office. So it's fully leased but the uh

49:53

what is it? Castle key cars are running

49:56

60% of prepandemic levels in a lot of

49:58

cities. But the A+, the bigger shops,

50:02

the JP Morgans, they want everybody back

50:04

in the office, as does Goldman Sachs, as

50:06

does a lot of these places. And they're

50:09

all in trophy properties.

50:10

>> And it's not just New York. It's uh

50:12

Miami. It's actually San Fran has come a

50:15

long way. There are certain buildings

50:16

there that we like. We actually, I would

50:18

say a little bit out of consensus, we

50:20

like DC, certain, not the government

50:22

buildings, but um nice offices. Like we

50:25

said, this is an administration that's

50:27

in the business of being in business,

50:28

which means you got to go see them and

50:30

make your case. You want to get some

50:32

business done, which means you need

50:34

lawyers with a nice conference room that

50:35

need a decent office and etc, etc. I

50:37

mean, like, it sounds a little glib, but

50:39

it's true.

50:39

>> It's the cost of doing business.

50:40

>> It's true. And so, you can see there are

50:42

certain companies that are buying

50:44

buildings, knocking them down in DC, and

50:47

building brand new ones. And there are

50:49

buildings that are being taken offline

50:50

to convert to resi. By the way,

50:52

everything we wrapped up in what we

50:54

said, the conversion from office resi is

50:56

actually spinning faster now in DC. Some

51:00

buildings are being con and just outside

51:02

DC, some buildings are being converted

51:03

to data centers.

51:05

>> So actually like stocks being removed

51:07

all the time. Anyways, it's just an

51:09

example of how like we're pulling on

51:11

threads and we're finding where we can

51:14

best take advantage of it and like what

51:16

are the next couple steps and ultimately

51:18

we're looking for what's something

51:21

that's already gotten better except the

51:22

price hasn't changed yet.

51:24

>> Huh. That's that's really that's really

51:26

interesting. You you've mentioned stress

51:29

scenarios a couple of times. Um we know

51:32

that correlations have a tendency to go

51:34

to one and liquidity disappears. Well, I

51:37

think I've seen that personally, right?

51:39

Liquidity disappears. Um,

51:42

>> I think I would just wrap that up. We I

51:44

make two comments to people. I say like

51:46

one, you don't go out of business

51:47

because of your assets. You go out of

51:49

business because your liabilities.

51:50

>> Uhhuh.

51:51

>> And when you start looking at that side

51:52

of the balance sheet first, then you

51:54

understand things a little bit better.

51:55

And then also, you know, with with my

51:58

traders and all the people I work for,

51:59

it's really great because some of the

52:00

people I hired a long time ago, they're

52:02

MDs at places now. It's I actually take

52:04

a lot of pride in the people I've worked

52:06

with who have gone on and done fantastic

52:08

things. I really really hate the phrase

52:11

money good. Okay, I don't think anybody

52:14

should be allowed to say it.

52:15

>> Um it is this like false crutch. I also

52:20

in many many conversations have said to

52:22

people, I think you're right. In fact,

52:24

you've convinced me. I believe you are

52:26

right. I'm just letting you know you're

52:28

going to get fired long before we know

52:29

the answer to this question. Okay, let's

52:31

take everything we thought, everything

52:32

we've known, and let's put it into the

52:34

context of how do we apply this in

52:36

markets? What's going to happen? What's

52:37

everybody else doing? And how do we take

52:40

advantage of that?

52:42

>> Huh. Really, really fascinating. Last

52:44

question before I get to my favorite

52:46

questions. What do you think investors

52:48

>> I thought those were your favorite

52:49

questions.

52:50

>> Oh, no. You'll you'll you'll see the

52:52

favorite questions. All right. Um, what

52:54

do you think investors in the credit and

52:56

alt space are not talking about but

52:59

perhaps should be? What topics, assets,

53:02

geographies, data points are getting

53:04

overlooked, but really shouldn't.

53:06

>> Yeah. So, it's a great question. Um, we

53:10

touched on a little bit. They're

53:11

underestimating the power of this

53:13

flywheel. Like with with the background

53:15

I've had and we've talked about and I've

53:17

seen a lot of things blow up like we

53:19

could come up with a lot of examples of

53:20

things that could go wrong. I think

53:22

they're underestimating

53:24

the things that could go right or what

53:26

the power of financing and um the

53:30

mechanics around financing and the

53:32

provision of liquidity and credit credit

53:35

spreads when they're good and when

53:36

they're tight and when the machine is

53:37

flowing what that financial engineering

53:39

can really do to both un recover value

53:42

and create value. I think they're

53:44

underestimating it really. The other

53:46

quick thing is

53:48

>> in the middle of the year

53:50

if Kevin Worsh ends up sitting in that

53:52

seat and if we get a little bit of the

53:54

the setup that he's looking for,

53:57

he's going to change everything, right?

53:59

So, he believes we're going to have a

54:01

big productivity dividend from AI and

54:03

we're going to have a big productivity

54:05

dividend from deregulation. And that

54:07

that would allow you to have lower rates

54:10

and a smaller Fed balance sheet at the

54:12

same time.

54:14

And if he gets a little bit of what he

54:16

needs to craft that argument,

54:19

we're going to have a very different

54:21

second half of 26 than the first half.

54:23

>> Really, really interesting. All right,

54:24

let's jump to our favorite questions,

54:26

our speed round. We'll get you guys out

54:28

of here at a reasonable time. Uh,

54:30

starting with who are your mentors who

54:32

helped shape your career?

54:35

>> Oh, I've worked for some pretty amazing

54:36

people. Um, and I tried to learn from

54:39

everyone. I just had the the bosses that

54:41

I've had are, you know, legends in this

54:43

industry, whether it's Bruce Richards,

54:46

TM Pirlo, oh, Jimmy Demar, Matt Z,

54:51

Daniel Pinto. I mean, these are got

54:53

these are people who defined these

54:54

markets. Um, and they all had a huge

54:57

impact on my career.

54:58

>> Really interesting. Let's talk about

55:00

books. What are you reading now? What

55:01

are some of your favorites?

55:03

Oh, you know, but like I am in front of

55:06

a computer screen and reading so much

55:08

and I read so much analytics, research,

55:10

etc. When I get home, it's a little bit

55:12

more like hang out with my wife and kids

55:13

and a little TV.

55:15

>> Uhhuh.

55:15

>> Um,

55:16

>> well, that's my next question. What are

55:18

you listening to or streaming?

55:20

>> Give us your favorite next Netflix,

55:22

Amazon Prime, whatever.

55:24

>> I will watch pretty much anything.

55:25

Taylor Sheridan, you know, like

55:27

>> we just finished season two of Land Man.

55:29

It's so good. like Land Man, all the

55:31

Yellow Stones, everyone. 198, 1823,

55:35

1920, all of those. Lionist, uh, any of

55:37

those. I'm a sucker.

55:38

>> Lionus was also great. There should be a

55:40

new season of that coming out one of

55:41

these days.

55:42

>> Uh, yeah, there is. I mean, I think I've

55:44

watched both seasons like a hundred

55:46

times.

55:47

>> Final two questions. What sort of advice

55:49

would you give to a college grad

55:51

interest in a career in investing,

55:54

credit, trading, what have you? I just

55:56

think it's not, you know, it doesn't

55:58

have to be a commitment for life. Just

56:00

look at it as what's something I'm

56:03

interested in being interested in. I

56:05

think you can pick the kind of people

56:06

you work with and you want to be around

56:08

good people who will teach you, who will

56:10

support what you're doing, and just say,

56:12

I'm going to give this a spin for three

56:13

to five years, and if I like it, I love

56:16

it, um, maybe I'll sign up for another

56:18

five. Um, but you know, you have an

56:21

opportunity to try something out and see

56:22

if it's for you. And our final question,

56:25

what do you know about the world of

56:26

trading credit, investing in alternative

56:30

sources of of liquidity and other

56:33

products that would have been helpful 25

56:36

or so years ago when you were just

56:38

getting your legs under you?

56:40

>> I wish I knew a fraction

56:42

of what we are applying at MARIC any

56:45

point before we did this. If I knew a

56:49

drop of what we're doing when I sat in

56:52

other seats. Yeah, I'll put that all in

56:54

the I wish I knew bucket.

56:56

>> Really, really absolutely fascinating.

56:58

Matt, thank you for being so generous

57:01

>> with your time. We have been speaking

57:02

with Matt Cherin. He's co-founder and

57:05

chief investment officer of Mar Capital.

57:08

If you enjoy this conversation, well, be

57:10

sure and check out any of the previous

57:13

600 or so we've done over the past 12

57:16

years. You can find those at iTunes,

57:18

Spotify,

57:20

um, Bloomberg, YouTube, wherever you get

57:23

your favorite podcasts. I would be

57:26

remiss if I didn't thank the Crack team

57:27

that helps us put these conversations

57:29

together each week. Alexis Noriega is my

57:32

video producer. Sean Russo is my

57:36

researcher. Anna Luke is my podcast

57:38

producer. I'm Barry Roltz. You've been

57:41

listening to Masters in Business on

57:44

Bloomberg Radio.

Interactive Summary

Matt Cherin, co-founder and Chief Investment Officer at Maric Capital, shares his journey and insights on the financial markets. He discusses his early career, the transformative experience of the 2019 repo crisis and the onset of the pandemic, which gave him a deeper understanding of the financial system's inner workings. Cherin elaborates on Maric Capital's unique investment philosophy, centered around the "MCCLR" framework (Money, Capital, Credit, Liquidity, Regulation), and their approach to identifying opportunities in complex markets. He highlights the firm's strategy of focusing on

Suggested questions

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